Growth FullStack

Start by connecting your ad networks, MMPs, and data warehouse. Growth FullStack guides you through picking sources, mapping fields, and setting a refresh cadence so your acquisition, creative, and revenue data land in one reliable place. Choose privacy-safe inputs (including aggregated conversions) and define which metrics matter—CPI, ROAS by cohort, subscription renewals, or LTV. Before your first load, enable built‑in checks to catch missing IDs, timezone drift, and currency mismatches, then snapshot your schema so you can roll back if anything changes.

Next, shape the data to match how your team works. Use point‑and‑click steps or SQL to normalize naming, convert currencies, align time windows, and split paid versus organic. Reconcile campaigns and creatives across networks with matching rules, then create a single catalog of products, placements, and geo segments. Build cohorts and filters to isolate high‑value users, new regions, or specific creative themes. Track every field with a data catalog and lineage view so analysts see where each column came from and what logic touched it. Create validation gates for outliers, null spikes, and duplicate events, and keep versioned histories of pipelines, models, and mappings for safe experimentation.

Ship results where your team already lives. Publish tables to BigQuery, Snowflake, or Redshift, and point Looker, Tableau, or Power BI at the ready‑to‑query models. Schedule secure deliveries to partners through managed transfers, or hit internal tools via APIs and webhooks. Automate alerts to Slack or Teams when CPI jumps, a campaign stops spending, or ROAS misses target, with links back to the exact slice of data. Set daily jobs to refresh SKAN performance summaries, creative win‑loss matrices, budget pacing dashboards, and rolling LTV forecasts. Every run is logged with audit trails for compliance reviews.

Small and mid‑size teams can move fast without a large data staff. Start with a guided playbook: import accounts, standardize naming, define cohorts, and publish a performance model in under a day. Marketers get self‑serve filters and saved looks; engineers keep control with versioned configs and test runs in staging. When business rules change—a new region, pricing, or attribution window—edit the mapping, preview the impact, and deploy with a click. You get consistent analytics in a privacy‑first setup and a workflow that scales from prototype to production.